Natural Language Processing

Bridging human language and machine intelligence through cutting-edge computational linguistics and AI research.

Core Areas of NLP Research

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Language Understanding

Developing models that accurately interpret context, meaning, and sentiment in human language.

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Text Generation

Creating synthetic text that is contextually relevant, coherent, and stylistically appropriate.

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Speech Processing

Enabling machines to recognize, interpret, and synthesize spoken language across languages and accents.

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Breakthrough Research

Transformer Architectures

The foundation of modern NLP systems that revolutionized how models process context through self-attention mechanisms.

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Cross-Modal Integration

Pioneering methods that connect linguistic, visual, and auditory information to create more holistic AI understanding.

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Research visualization showing neural network layers processing text and images